Lead GenAI & ML Engineer on Azure

Valiant Technologies LLC; Atlanta (GA); On-site; USD 80,000 - 107,000; Full time

Job summary

Valiant Technologies LLC is hiring a Senior AI/ML Engineer in Atlanta to architect scalable GenAI and multi-agent solutions on Azure, focusing on embeddings, prompt/context engineering, and secure data handling for healthcare workloads.

You will lead design reviews, mentor teams, and drive cutting-edge GenAI integration across enterprise applications with a strong emphasis on performance and cost optimization.

Qualifications

• Experience in AI/ML engineering with GenAI and LLM concepts.
• Strong Python coding skills; other languages a plus.
• Hands-on with Azure-based AI/ML deployments and data services.
• Knowledge of secure data handling and regulatory requirements.

Responsibilities

• Architect scalable AI/ML systems and multi-agent orchestration.
• Lead end-to-end solution development including embeddings and prompt design.
• Oversee Azure-based deployment, monitoring, and cost optimization.
• Design data pipelines using Redis, Cosmos DB, and Blob Storage.
• Develop microservices with Azure Functions and Container Apps.
• Ensure performance, resilience, and compliance for healthcare data.
• Mentor engineers and drive best practices in design and code reviews.
• Stay ahead of GenAI trends and integrate them into enterprise projects.

Skills

Agentic Layer

A2A frameworks

MCP Protocol

Vector embeddings

Prompt engineering

Context engineering

LLMs

Python

Azure Cloud

Azure Functions

Azure Container Apps

Cosmos DB

Redis

Blob Storage

Iceberg

Tools

Azure Cloud

Azure Functions

Azure Container Apps

Cosmos DB

Redis

Blob Storage

Iceberg

Azure AI Search

Job description

Valiant Technologies LLC is hiring a Senior AI/ML Engineer in Atlanta to architect scalable GenAI and multi-agent solutions on Azure, focusing on embeddings, prompt/context engineering, and secure data handling for healthcare workloads.

You will lead design reviews, mentor teams, and drive cutting-edge GenAI integration across enterprise applications with a strong emphasis on performance and cost optimization.